Triple
T11319477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicellous Reon Shannon |
E268054
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Vicellous
Vicellous is an American actor best known for his role as Benjamin "Benny" Sisko in the television series "The 4400."
|
E918942
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vicellous | Statement: [Vicellous Reon Shannon, givenName, Vicellous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vicellous Context triple: [Vicellous Reon Shannon, givenName, Vicellous]
-
A.
Vignely
Vignely is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
B.
Victurnien
Victurnien is the given name of Pierre Victurnien Vergniaud, a prominent French lawyer and leading Girondin orator during the French Revolution.
-
C.
Vaccaria
Vaccaria is a small genus of flowering plants in the carnation family, known for species such as cowherb that are sometimes used in traditional medicine and ornamental gardening.
-
D.
Verulae
Verulae was an ancient town of the Hernici people in central Italy, known from the early Italic period.
-
E.
Verucchio
Verucchio is a historic hilltop town in Italy’s Emilia-Romagna region, known for its well-preserved medieval architecture and important Villanovan archaeological sites.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vicellous Triple: [Vicellous Reon Shannon, givenName, Vicellous]
Generated description
Vicellous is an American actor best known for his role as Benjamin "Benny" Sisko in the television series "The 4400."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vicellous Target entity description: Vicellous is an American actor best known for his role as Benjamin "Benny" Sisko in the television series "The 4400."
-
A.
Vignely
Vignely is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
B.
Victurnien
Victurnien is the given name of Pierre Victurnien Vergniaud, a prominent French lawyer and leading Girondin orator during the French Revolution.
-
C.
Vaccaria
Vaccaria is a small genus of flowering plants in the carnation family, known for species such as cowherb that are sometimes used in traditional medicine and ornamental gardening.
-
D.
Verulae
Verulae was an ancient town of the Hernici people in central Italy, known from the early Italic period.
-
E.
Verucchio
Verucchio is a historic hilltop town in Italy’s Emilia-Romagna region, known for its well-preserved medieval architecture and important Villanovan archaeological sites.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525e2549081909ec99e4c7006fd66 |
completed | April 19, 2026, 6:58 p.m. |
| NEDg | Description generation | batch_69e52c81449c8190847b64fa91a45b2e |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531b079708190ac9e19127d36a848 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.